code: def _unsqueeze_dims_fx(
      tensor: torch.Tensor,
  ) -> Tuple[torch.Tensor, int]:
      tensor_dim = tensor.ndim
      if tensor_dim == 4:
          pass
      elif tensor_dim == 3:
          tensor = tensor.unsqueeze(1)
      else:
          raise NotImplementedError(
              f"Unsupported input dimension {tensor.shape}"
          )
      return tensor, tensor_dim
  
imports: from typing import List, Optional, Tuple
  import numpy
  import torch
  import torch.fx
  import torch.nn
  from torch.nn.common_types import _size_3_t
  from .drop_path import DropPath
label_desc: Use image node_id 1 for calling a global function with example usage: _unsqueeze_dims_fx(tensor) and returns: tensor,  tensor_dim